27 parallel-computing-numerical-methods-"Multiple" PhD positions at Utrecht University in Netherlands
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PhD Position in Computational Modelling of Fungal Evolution Faculty: Faculty of Science Department: Department of Biology Hours per week: 36 to 40 Application deadline: 14 April 2026 Apply now
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theory and methods, combined with insights from business economics, finance, entrepreneurship, innovation, ethics and sustainability. The programme has about 1,500 students from various backgrounds and
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part of the Software Technology group . Research in this group focuses on using and improving functional programming languages such as Haskell and Agda, in particular for parallel computing, software
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Human Geography and Spatial Planning has its
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- 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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required for broader participation. You will be part of a cohort of 11 PhD candidates from multiple Dutch universities and disciplines, from social psychology and urban planning to governance studies and
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to genomic and epidemiological data; design controlled computational experiments (simulations and synthetic datasets) to validate theoretical predictions; apply your methods to large-scale viral datasets
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methods, which can struggle to represent underlying soil processes. Your job This project aims to develop a new generation of soil mapping approaches by combining mechanistic understanding of soil formation
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, support decision-makers, and advance debris-flow modelling for future research. In this PhD, you will carry out field measurements and run numerical simulations to better understand and predict debris-flow
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part of the National Growth Fund programme “Ombion-CPBT”, which is a national centre for valorizing and disseminating animal-free innovations and expertise in the biomedical domain. The PhD project